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Machine Learning Defense Jobs in Arizona (NOW HIRING)

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Software Engineer II

Phoenix, AZ

$96K - $132K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Leveraging advanced AI and machine learning, World View empowers defense, intelligence, and commercial customers to gain clarity, act with speed, and operate with confidence in complex environments.

Leveraging advanced AI and machine learning, World View empowers defense, intelligence, and commercial customers to gain clarity, act with speed, and operate with confidence in complex environments.

Leveraging advanced AI and machine learning, World View empowers defense, intelligence, and commercial customers to gain clarity, act with speed, and operate with confidence in complex environments.

Leveraging advanced AI and machine learning, World View empowers defense, intelligence, and commercial customers to gain clarity, act with speed, and operate with confidence in complex environments A ...

New

Senior Cybersecurity Engineer

Mesa, AZ · On-site

$113K - $155K/yr

Implement security solutions that reinforce a defense-in-depth and zero-trust posture. * Contribute ... Knowledge of machine learning for anomaly detection or threat intelligence. Verra Mobility Values ...

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Showing results 1-20

Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Arizona? For Machine Learning Defense jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Arizona look for? The top searched job categories for Machine Learning Defense jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Defense jobs? Cities in Arizona with the most Machine Learning Defense job openings:
Software Engineer II

$92K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

3rd of 527 rated manufacturers


Job description

Date Posted:

2026-07-07

Country:

United States of America

Location:

US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

Secret - Current

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required — we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career.

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country.

This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. 

What You Will Do 

  • Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems.

  • Design, code, test, integrate, and document software solutions.

  • Participate in internal review of software components and systems.

  • Collaborate with project managers and other professionals within Engineering.

  • Work on problems with defined scope, schedule, and expectations.

  • Follow established development practices and processes to maintain the configuration management of software products.

  • Ability to obtain program access required. 

What You Will Learn

  • Use new tools that will keep you state-of-the-art.

  • Stay updated with the latest advancements in software development and missile technology to drive innovation.

Qualifications You Must Have 

  • Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience.

  • Experience with C++, C, or other object-oriented language.

  • Experience with hardware-software integration and embedded system testing.

  • Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. 

Qualifications We Prefer  

  • Knowledge of data structures and algorithms, systems software design, operating systems and architectures.

  • Knowledge of assembly, C/C++ programming, structured programming concepts.

  • Knowledge of object-oriented design and Unified Model Language.

  • Knowledge of statistical and numerical methods.

  • Interpersonal and communication skills, both verbal and written.

  • Demonstrated ability to work effectively with colleagues and leaders in a team environment.

 What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Offered Based On Eligibility

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role:

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm 

Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America’s 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature’s best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson’s fantastic weather lets residents enjoy the outdoors year-round.

Virtual Fly Over City of Tucson & Community, YouTube Video Links

  • “Raytheon In Tucson”: https://careers.rtx.com/global/en/raytheon-tucson,-az-location

  • “Tucson is Awesome”: https://www.youtube.com/watch?v=i65wOwKcNIQ

  • “Winter in Tucson”: https://www.youtube.com/watch?v=yZdKKkF0QkE

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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